Instructions to use cstr/ALMA-7B-R-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use cstr/ALMA-7B-R-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf cstr/ALMA-7B-R-GGUF # Run inference directly in the terminal: llama cli -hf cstr/ALMA-7B-R-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cstr/ALMA-7B-R-GGUF # Run inference directly in the terminal: llama cli -hf cstr/ALMA-7B-R-GGUF
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf cstr/ALMA-7B-R-GGUF # Run inference directly in the terminal: ./build/bin/llama cli -hf cstr/ALMA-7B-R-GGUF
Use Docker
docker model run hf.co/cstr/ALMA-7B-R-GGUF
- Llama new
- LM Studio
- Jan
- Ollama
How to use cstr/ALMA-7B-R-GGUF with Ollama:
ollama run hf.co/cstr/ALMA-7B-R-GGUF
- Unsloth Desktop
- Docker Model Runner
How to use cstr/ALMA-7B-R-GGUF with Docker Model Runner:
docker model run hf.co/cstr/ALMA-7B-R-GGUF
- Lemonade
How to use cstr/ALMA-7B-R-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cstr/ALMA-7B-R-GGUF
Run and chat with the model
lemonade run user.ALMA-7B-R-GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload README.md with huggingface_hub
Browse files
README.md
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---
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license: mit
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tags:
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- gguf
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- llm
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base_model: haoranxu/ALMA-7B-R
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---
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# ALMA-7B-R — GGUF
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GGUF conversion of [haoranxu/ALMA-7B-R](https://huggingface.co/haoranxu/ALMA-7B-R). ALMA-7B-R translation model (Advanced LLM-based Machine Assisted translation).
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## Files
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| File | Size |
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|------|------|
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| `ALMA-7B-R-q4-k-m.gguf` | 3892 MB |
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Compatible with [llama.cpp](https://github.com/ggml-org/llama.cpp) and other GGUF runtimes.
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